Literature DB >> 27402761

How van der Waals interactions determine the unique properties of water.

Tobias Morawietz1, Andreas Singraber2, Christoph Dellago2, Jörg Behler1.   

Abstract

Whereas the interactions between water molecules are dominated by strongly directional hydrogen bonds (HBs), it was recently proposed that relatively weak, isotropic van der Waals (vdW) forces are essential for understanding the properties of liquid water and ice. This insight was derived from ab initio computer simulations, which provide an unbiased description of water at the atomic level and yield information on the underlying molecular forces. However, the high computational cost of such simulations prevents the systematic investigation of the influence of vdW forces on the thermodynamic anomalies of water. Here, we develop efficient ab initio-quality neural network potentials and use them to demonstrate that vdW interactions are crucial for the formation of water's density maximum and its negative volume of melting. Both phenomena can be explained by the flexibility of the HB network, which is the result of a delicate balance of weak vdW forces, causing, e.g., a pronounced expansion of the second solvation shell upon cooling that induces the density maximum.

Entities:  

Keywords:  ab initio liquid water; density-functional theory; neural network potentials; van der Waals interactions; water structure

Year:  2016        PMID: 27402761      PMCID: PMC4968748          DOI: 10.1073/pnas.1602375113

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  43 in total

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  26 in total

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5.  Gaussian Process Regression for Materials and Molecules.

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Journal:  Nature       Date:  2021-08-25       Impact factor: 49.962

7.  Force Field for Water Based on Neural Network.

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8.  Self-interaction error overbinds water clusters but cancels in structural energy differences.

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9.  Machine Learning Force Fields.

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10.  Combining Machine Learning and Computational Chemistry for Predictive Insights Into Chemical Systems.

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